Air Mobility Simulator

The Agent-based Urban Air Mobility (UAM) Simulator provides a comprehensive platform for modeling and managing urban aerial traffic using high-fidelity aircraft simulations and real-world data integration. Utilizing the AgentFly simulator, the system supports heterogeneous aircraft types—such as fixed-wing, rotary drones, and helicopters—operating in an urban environment modeled on actual city maps like Atlanta. Key capabilities include real-time flight planning, no-fly zone detection, inflight waypoint timing, and dynamic conflict resolution between UAVs or with static obstacles. The simulator also enables on-demand aircraft generation, incorporates detailed aircraft dynamics, and supports visualization of flight trajectories using ADS-B data, making it a powerful tool for advancing safe and efficient UAM traffic management.